AI System Identifies Buildings Damaged by Wildfire

U.S. researchers developed an AI system that helps classifying buildings with wildfire damage by relying solely on post-fire images with 92% accuracy. Wildfires are increasing in frequency and intensity as climate change becomes more pronounced and visible. These are now causing disruptions in urban areas people left homes and their lives behind. Now, they will have to wait anxiously to know the state of their homes and the damage that they will need to fix. Researchers at Stanford University and the California Polytechnic State University (Cal Poly) have developed an Artificial Intelligence (AI) algorithm system called DamageMap that is a damage classifier; it helps identify building damages within minutes of a catastrophe by studying aerial photographs.